| 9.8 A 25mm2 SoC for IoT Devices with 18ms Noise-Robust Speech-to-Text Latency via Bayesian Speech Denoising and Attention-Based Sequence-to-Sequence … T Tambe, EY Yang, GG Ko, Y Chai, C Hooper, M Donato, PN Whatmough, ... 2021 IEEE International Solid-State Circuits Conference (ISSCC) 64, 158-160, 2021 | 36 | 2021 |
| Relaxed GaP on Si with low threading dislocation density RD Hool, Y Chai, Y Sun, BC Eng, P Dhingra, S Fan, K Nay Yaung, ... Applied Physics Letters 116 (4), 2020 | 18 | 2020 |
| A 3mm2 Programmable Bayesian Inference Accelerator for Unsupervised Machine Perception using Parallel Gibbs Sampling in 16nm GG Ko, Y Chai, M Donato, PN Whatmough, T Tambe, RA Rutenbar, ... 2020 IEEE Symposium on VLSI Circuits, 1-2, 2020 | 12 | 2020 |
| Accelerating Bayesian inference on structured graphs using parallel Gibbs sampling GG Ko, Y Chai, RA Rutenbar, D Brooks, GY Wei 2019 29th international conference on field programmable logic and …, 2019 | 12 | 2019 |
| Flexgibbs: Reconfigurable parallel gibbs sampling accelerator for structured graphs GG Ko, Y Chai, RA Rutenbar, D Brooks, GY Wei 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom …, 2019 | 10 | 2019 |
| A 16-nm soc for noise-robust speech and nlp edge ai inference with bayesian sound source separation and attention-based dnns T Tambe, EY Yang, GG Ko, Y Chai, C Hooper, M Donato, PN Whatmough, ... IEEE Journal of Solid-State Circuits 58 (2), 569-581, 2022 | 8 | 2022 |
| Int2. 1: Towards fine-tunable quantized large language models with error correction through low-rank adaptation Y Chai, J Gkountouras, GG Ko, D Brooks, GY Wei arXiv preprint arXiv:2306.08162, 2023 | 7 | 2023 |
| A scalable bayesian inference accelerator for unsupervised learning G Ko, Y Chai, M Donato, PN Whatmough, T Tambe, RA Rutenbar, GY Wei, ... 2020 IEEE Hot Chips 32 Symposium (HCS), 1-27, 2020 | 4 | 2020 |
| CoopMC: Algorithm-architecture co-optimization for Markov chain Monte Carlo accelerators Y Chai, GG Ko, L Bailey, D Brooks, GY Wei 2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022 | 3 | 2022 |
| SM6: A 16nm System-on-Chip for Accurate and Noise-Robust Attention-Based NLP Applications : The 33rd Hot Chips Symposium – August 22-24, 2021 T Tambe, EY Yang, GG Ko, Y Chai, C Hooper, M Donato, PN Whatmough, ... 2021 IEEE Hot Chips 33 Symposium (HCS), 1-13, 2021 | 2 | 2021 |
| Late Breaking Results: Test Selection For RTL Coverage By Unsupervised Learning From Fast Functional Simulation R Liang, N Pinckney, Y Chai, H Ren, B Khailany 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-2, 2023 | 1 | 2023 |
| PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices Y Chai, D Tripathy, C Zhou, D Gope, I Fedorov, R Matas, D Brooks, ... arXiv preprint arXiv:2301.10999, 2023 | 1 | 2023 |
| SpeedLimit: Neural Architecture Search for Quantized Transformer Models Y Chai, L Bailey, Y Jin, M Karle, GG Ko, D Brooks, GY Wei, HT Kung arXiv preprint arXiv:2209.12127, 2022 | | 2022 |
| Bigger&Faster: Two-stage Neural Architecture Search for Quantized Transformer Models. Y Chai, L Bailey, Y Jin, M Karle, GG Ko CoRR, 2022 | | 2022 |
| DIMA system for real-time object detention Y Chai | | 2019 |
| 2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA)| 978-1-6654-2027-3/22/$31.00© 2022 IEEE| DOI: 10.1109/HPCA53966. 2022.00094 H Abdel-Aziz, B Acun, NB Agostini, M Annavaram, JL Aragón, A Awad, ... | | |
| HPCA 2022 M Denton, H Schmit, D Wu, J San Miguel, Y Chai, GG Ko | | |
Glenn G. KoHarvard University, StochasticVerified email at seas.harvard.edu
